五軸非接觸式三次元量測系統的研製

Development of the Five DOFs Non-contact Coordinate Measuring Machine System.

許智程(Jhih-Cheng Syu)

指導教授 ： 林百福

國立臺北科技大學/機電學院/車輛工程系所/碩士(2005年)

摘要

為了快速準確求得工件曲面資料，本研究自行研製五軸非接觸式三次元量測系統，在實際量測時，若量測 Gap 越小，則所得到的工件尺寸資料與實際工件尺寸越接近。但受限於雷射位移計(laser displacement meter, LDM)之穩定度及工件表面粗糙程度的影響，當 Gap 小於一定程度時，則會有大量雜訊產生，為求得到較好的量測結果，本研究以 0.15 mm作為最小的量測間距。經實驗結果證實，量測誤差範圍皆在所設定的量測 Gap 內，此為合理之誤差範圍。
此外，為有效評估五軸非接觸式三次元量測系統的控制性能，本研究發展三種智慧型控制器：(1)傳統模糊控制器(traditional fuzzy controller, TFC)， (2)灰預測模糊控制器(grey prediction fuzzy controller, GPFC)和 (3)自組織模糊控制器(self-organizing fuzzy controller, SOFC)，以實際控制自行改裝的三次元量測機台。實驗結果證實，灰預測模糊控制器與自組織模糊控制器遠比傳統模糊控制器有較好的控制性能，但自組織模糊控制器遠比傳統模糊控制器或灰預測模糊控制器需花費較多的時間學習修正規則表，以獲得較佳的控制性能。

關鍵字

非接觸式三次元量測 ； 灰預測模糊控制器 ； 自組織模糊控制器

並列摘要

This work developed a five degrees of freedom (DOFs) non-contact coordinate measuring machine (CMM) system to measure rapidly and accurately the surface of the workpiece. Selecting a small gap to measure the workpiece surface can obtain a close to actual size of the workpiece in the practical measuring process. However, as the excessively small gap was chose to measure the surface of the workpiece, the much white noise would be caused because of the effects of the stability of the measured laser displacement meter (LDM) and the surface roughness of the workpiece. This study chooses a gap as 0.15 mm to measure the workpiece surface for achieving a good measuring quality. The measured error of the workpiece locates in the selected gap that is a reasonable error range, as confirmed by experimental results.
Moreover, this study developed three intelligent controllers: (1) traditional fuzzy controller (TFC), (2) grey prediction fuzzy controller (GPFC), and (3) self-organizing fuzzy controller (SOFC), to effectively evaluate control performance of the five DOFs CMM. Experimental results show that the GPFC and SOFC have better control performance in reducing the trajectory tracking error than does the TFC; however, the SOFC needs a more time to learning and update control rules in controlling the CMM system for procuring good control performance than that of the TFC or GPFC.

並列關鍵字

non-contact coordinate measuring machine ； grey-prediction fuzzy controller ； self-organizing fuzzy controller

參考文獻

[2] G. Wang, B. Zheng, X. Li and Z. Houkes, 'Modeling and calibration of the laser beam scanning triangulation measurement system,' Robotics and Autonomous Systems, vol. 40, 2002, pp. 267-277.

[3] K. H. Lee, H. Park and S. Son, 'A framework for laser scan planning of freeform surfaces,' International Journal of Advance Manufacturing Technology, vol. 17, 2001, pp. 171-180.

[4] L. Xinmin, L. Zhongqin, H. Tian and Z. Ziping, 'A study of a reverse engineering system based on vision sensor for free-form surfaces,' Computers and Industrial Engineering, vol. 40 , no. 3, 2001, pp. 215-227.

[5] G. Zhang and Z. Wei, 'A novel calibration approach to structured light 3D vision inspection,' Optics and Laser Technology, vol. 34, no. 5, 2002, pp. 373-380.

[6] K. H. Goh, N. Phillip and R. Bell, 'Applicability of a laser triangulation probe to non-contacting inspection,' Int. J. Prod. Res, vol. 24, no. 6, 1986, pp. 1331-1348.